Projects

ActGPT – Adaptive robot ConTrol with Generative Pre-trained Transformers

Currently, we are seeing an explosion in AI, primarily led by the advances in reinforcement learning (RL) methods as well as transformer-based neural networks. For example, large language models (LLMs

MikroBeM – Auswirkung von simulierter und realer Mikrogravitation auf die Bewegungskinematik des (un)trainierten Menschen

Within the MikroBeM project we investigate the impact of real micro- and hypergravity on fine motor and cognitive learning states, workload conditions, and movement kinematics, analyzing biological si

CoEx – Entwicklung von Methoden zur Co-Adaptation für die Ermöglichung und Verbesserung von Exoskelett-basiertee (Tele-) Rehabilitation

Co-adaptation to enable and improve exoskeleton-based (tele-) rehabilitation

RAASCEMAN – Resilient and Adaptive Supply Chains for Capability-based Manufacturing as a Service Networks

The manufacturing sector faces challenges such as increasing international competition, political tensions, material shortages or unpredictable natural events. The RAASCEMAN project aims to mitigate a

MAC-MERLin – Multi-Level Abstractions and Causal Modeling for Enhanced Reinforcement Learning

Das Projekt Multi-Level Abstractions and Causal Modeling for Enhanced Reinforcement Learning (MAC-MERLin) zielt darauf ab, durch die Nutzung von Multi-Level-Abstraktionen in Kombination mit kausaler M

RIG – Robotics Institute Germany

Robotics Institute Germany, national joint project of robotics research in Germany, coordinated by TU Munich The Robotics Institute Germany is an initiative by the Federal Ministry of Education and Re

SC_Kleer – MultiGrasp: Multimodal Grasp Type Prediction for Dexterous Multi-fingered Robotic Grasping

Partners TRUMPF Werkzeugmaschinen SE + Co. KG

FAIRe_RIC – Frugal Artificial Intelligence in Resource-limited environments

FAIRe aims to develop resource-limited AI for embedded systems, cyber-physical systems, and edge devices. The development approach should extend comprehensively from the application layer to the physi

MASTER – MASTER: Mixed reality ecosystem for teaching robotics in manufacturing

Many industries are transitioning to Industry 4.0 production models by adopting robots in their processes. In parallel, Extended Reality (XR) technologies have reached sufficient maturity to enter the

HARTU – Work-Piece-Handling - Reusable robot capacities and skills for part handling in manufacturing environments

HARTU (Handling with AI-enhanced Robotic Technologies for flexible ManUfacturing) will provide components for automatic planning and control of gripping, release and contact assembly tasks and propose